Category: In-Memory Databases- Data Streaming Blog Posts

McObject Announces eXtremeDB/rt 2.1, Slashing Memory Footprint and Advancing Flash Simulation Capabilities

The latest in database management technology is optimized for resource-constrained hard real-time systems with expanded hardware support, advanced storage simulation, and enhanced LwIP connectivity. SEATTLE, WA – May 28, 2026 – McObject®, developer of the...

When a Millisecond Is a Promise: Andrei Gorine on Hard Real-Time Data Management and the Hidden Cost of Flash

Q1. Real-time systems have traditionally relied on in-memory databases to guarantee deterministic performance, while persistence introduces latency unpredictability. How did you architect eXtremeDB/rt 2.0 to bridge this gap? What were the key technical challenges...

Volt Demo Lab

The NEW Demo Lab provides a friction-free environment to experiment with Volt’s capabilities. Learn how to eliminate the “decision gap” in your stack with guided exercises focused on performance, consistency, and scale.

A Conversation with Mark Lockareff: The Existential Threat Hiding in Your Data Stack

Q1.  Most executives understand they need better data and better AI models, but the movement of data isn’t typically on their radar. When you talk to boards and C-suites about why milliseconds matter to...

On Predictable Real-Time Data Management Over Persistent Storage Media. Q&A with Andrei Gorine and Steve Graves

Q1. As real-time systems grow in complexity, they require managing increasingly large and intricate data. What are the main challenges in managing the predictability aspects of real-time databases? Several challenges must be addressed. In a...

On Real-time Databases. Q&A with Andrei Gorine and Steve Graves

“Another rapidly evolving concept is real-time mixed criticality systems that integrate components with different levels of criticality onto a single computing platform.” Q1. Why is there a need for real-time databases? Data has become the greatest...